ArticleForestry research2025
DEFGermplasm: a comprehensive digital platform for forest genomic and phenotype data integration.
Article in Forestry research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Forest germplasm resources are indispensable resources for ecosystem stability and economic value. However, they are increasingly threatened by environmental changes and human activities and urgently need advanced management methods. Concurrently, traditional management methods are unable to cope with the increasingly complex data in the era of advanced information technology. Therefore, we developed DEFGermplasm (https://defgermplasm.com), a digital platform utilizing Flask framework, Python, MySQL, NGINX, Gunicorn, HTML5, JavaScript, JBrowse, SequenceServer, Seaborn, and Echarts, taking the germplasm resources of pecan, hickory, Chinese fir, and phoebe. The platform integrates genomic, transcriptomic, phenotypic, and physiological data, utilizing user-friendly visualization tools to achieve intuitive data presentation. Gene expression heat maps reveal tissue-specific patterns, interactive phenotypic trait visualizations supporting breeding and trait selection, and cross-species analyses uncovering gene conservation and functional adaptation. For example, the WRINKLED1 transcription factor showed roles across nut-bearing and timber species. Additionally, the platform's sequence alignment and homology search tool facilitate comprehensive exploration of gene families, while genome visualization tools provide detailed insights into genomic structures and regulatory elements. By integrating diverse datasets with intuitive visualization tools, DEFGermplasm enhances forest germplasm research, supporting breeding and conservation initiatives. This study underscores the transformative potential of digital platforms in forest genetics and sustainable resource management.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.